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Three-Class Mammogram Classification Based on Descriptive CNN Features
In this paper, a novel classification technique for large data set of mammograms using a deep learning method is proposed. The proposed model targets a three-class classification study (normal, malignant, and benign cases). In our model we have presented two methods, namely, convolutional neural net...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5274695/ https://www.ncbi.nlm.nih.gov/pubmed/28191461 http://dx.doi.org/10.1155/2017/3640901 |